通用机器学习 · evaluation论文趋势 2023–2026

主要结论

• 通用机器学习 · evaluation论文从 2023 年的 53 篇增长到 2026 年的 230 篇，三年间扩大到约 4.3 倍。
• NeurIPS 是发通用机器学习 · evaluation论文最多的会议，2023–2026 年共 270 篇，占四个会议总量的 45%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 47 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 4；同组增长最快的通用机器学习 · reinforcement learning是 2.0 倍，通用机器学习 · evaluation是 4.3 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
• ICML 2026A Computational Framework for Evaluating Human-likeness in LLMs' Open-ended Human Behaviors
• ICLR 2026Unlearning Evaluation through Subset Statistical Independence
• CVPR 2026Bridging the Perception Gap in Image Super-Resolution Evaluation
• NeurIPS 2025Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
• ICML 2025AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
• ICLR 2025On Speeding Up Language Model Evaluation
• CVPR 2025ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
• NeurIPS 2024Accuracy is Not All You Need
• ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
• ICLR 2024BatchPrompt: Accomplish more with less
• CVPR 2024Animating General Image with Large Visual Motion Model
• NeurIPS 2023AQuA: A Benchmarking Tool for Label Quality Assessment
• ICML 2023Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
• ICLR 2023Beyond calibration: estimating the grouping loss of modern neural networks
• CVPR 2023GeneCIS: A Benchmark for General Conditional Image Similarity
• NeurIPS 2026AMUSE: Anytime Muon with Stable Gradient Evaluation
• ICML 2026A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems
• ICLR 2026Choices Speak Louder than Questions
• CVPR 2026Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks

全部通用机器学习 · evaluation论文

共 22 篇，第 1 / 1 页

1. ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
2. ICML 2024A3S: A General Active Clustering Method with Pairwise Constraints
3. ICML 2024An Interpretable Evaluation of Entropy-based Novelty of Generative Models
4. ICML 2024Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
5. ICML 2024Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
6. ICML 2024Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
7. ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
8. ICML 2024Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
9. ICML 2024CurBench: Curriculum Learning Benchmark
10. ICML 2024Dynamic Evaluation of Large Language Models by Meta Probing Agents
11. ICML 2024Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
12. ICML 2024Evaluation of Trajectory Distribution Predictions with Energy Score
13. ICML 2024Kernel-Based Evaluation of Conditional Biological Sequence Models
14. ICML 2024Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
15. ICML 2024On the Hardness of Probabilistic Neurosymbolic Learning
16. ICML 2024Policy Evaluation for Variance in Average Reward Reinforcement Learning
17. ICML 2024Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
18. ICML 2024Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
19. ICML 2024SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
20. ICML 2024Stability Evaluation through Distributional Perturbation Analysis
21. ICML 2024Towards General Neural Surrogate Solvers with Specialized Neural Accelerators
22. ICML 2024Transolver: A Fast Transformer Solver for PDEs on General Geometries

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · evaluation论文？

共 606 篇，按年份分别是 2023 年 53 篇、2024 年 115 篇、2025 年 208 篇、2026 年 230 篇。

NeurIPS 2026 有多少篇通用机器学习 · evaluation论文？

NeurIPS 2026 有 57 篇通用机器学习 · evaluation论文，上一届是 124 篇。

ICLR 2026 有多少篇通用机器学习 · evaluation论文？

ICLR 2026 有 19 篇通用机器学习 · evaluation论文，上一届是 19 篇。

ICML 2026 有多少篇通用机器学习 · evaluation论文？

ICML 2026 有 148 篇通用机器学习 · evaluation论文，上一届是 58 篇。

CVPR 2026 有多少篇通用机器学习 · evaluation论文？

CVPR 2026 有 6 篇通用机器学习 · evaluation论文，上一届是 7 篇。

哪个会议的通用机器学习 · evaluation论文最多？

NeurIPS，2023–2026 年共 270 篇。